294 search results - page 27 / 59 » Spectral feature selection for supervised and unsupervised l... |
ICML
2003
IEEE
14 years 26 days ago
2003
IEEE
Feature selection methods have been successfully applied to text categorization but seldom applied to text clustering due to the unavailability of class label information. In this...
SAC
2006
ACM
14 years 1 months ago
2006
ACM
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
IROS
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract— Although the human hand is a complex biomechanical system, only a small set of features may be necessary for observation learning of functional grasp classes. We explor...
MLDM
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...